code: def test_alltoall(self):
      store = FakeStore()
      dist.init_process_group(
          backend="fake", rank=0, world_size=2, store=store
      )
  
      output_list = [torch.ones(3, 3) for _ in range(2)]
      input_list = [torch.ones(3, 3) for _ in range(2)]
      dist.all_to_all(output_list, input_list)
      self.assertEqual(len(output_list), 2)
      for output in output_list:
          self.assertEqual(tuple(output.shape), (3, 3))
  
imports: import sys
  import torch
  import torch.distributed
  import torch.nn
  import unittest
  import torch.distributed._functional_collectives
  from torch.fx.experimental.proxy_tensor import make_fx
  from torch.testing._internal.distributed.fake_pg import FakeStore
  from torch.testing import FileCheck
  from torch.distributed.fsdp import FullyShardedDataParallel
  from torch.distributed._tensor import DeviceMesh, init_device_mesh, Shard
  from torch.testing._internal.common_utils import TestCase, run_tests
  from torch.distributed.tensor.parallel import ColwiseParallel, parallelize_module, RowwiseParallel
  from torch.testing._internal.distributed._tensor.common_dtensor import MLPModule
label_desc: Use image node_id 10 for calling the TestFakePG obj's underlying member method code with example usage: obj.test_alltoall() without return types